• 제목/요약/키워드: Data-driven empirical model

검색결과 39건 처리시간 0.033초

Factors Influencing Consumer Behavior Towards Green Consumption: An Empirical Study in Vietnam

  • NGUYEN, Lan;NGUYEN, Van-Thien;HOANG, Uyen Thu
    • The Journal of Asian Finance, Economics and Business
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    • 제8권10호
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    • pp.197-205
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    • 2021
  • This study aims to investigate factors influencing customer behavior towards nylon bags and single-use plastics. These factors are environmental protection awareness, health protection awareness, sense of responsibility, expectations, and green marketing. A quantitative method with the use of surveys is deployed to collect data of young people under 30, generating 1650 valid responses. The collected data is then analyzed with SPSS 22, using Cronbach's Alpha and Exploratory Factor Analysis to test the reliability of the model before validating the hypotheses by regression analysis. The study found that the majority of respondents are inclined to use plastic bags, despite their environmental awareness. The results also demonstrate that health consciousness, environmental concerns, self-driven responsibility for the sustainability of young people have a significant impact on their behaviors in using nylon bags and plastic products, whereas expectation and green marketing are confirmed not to be the factors. The study suggests that if green marketing is to gain higher influence, an increase in research and development to support other environmentally friendly packaging would be the right path. Finally, this research proposes some feasible recommendations for the government, which include imposing bolder and more targeted environmental policies on consumers and introducing educational campaigns to raise awareness about minimizing plastic consumption.

The Impact of Korean Wave on the Distribution of Consumer Goods Exports

  • KIM, Hun;KIM, Hyeob;CHANG, Byeng-Hee;PARK, Jiseob
    • 유통과학연구
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    • 제19권4호
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    • pp.37-51
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    • 2021
  • Purpose: The purpose of this study is to provide a basis for establishing a policy to promote the export of Korean goods through the economic ripple effect of the Korean Wave. From 2001 to 2017, cultural goods exports and consumer goods exports data to 102 countries were used to estimate the effect of cultural goods exports on domestic consumer goods exports. Research design, data and methodology: Based on the Gravity Model, we analyzed the effects of domestic film, publishing, music, broadcasting, clothing, cosmetics, processed food, IT products, and automobiles on the export of consumer goods. Results: The empirical analysis estimated the trade creation effect of exports of cultural products driving exports of consumer goods and found that a 1% increase in exports of cultural products increased 0.136% in exports of consumer goods. Conclusions: The average rate of change in consumer goods exports due to changes in cultural product exports was 22.44, which could be interpreted as an increase of $2,244 in exports of consumer goods such as IT products, cosmetics, clothing, and processed foods. According to the analysis of export-driven effects of each consumer item by dividing cultural products by sector, the effects of export of processed foods, clothing, cosmetics, IT products, and film, music, publishing exports were statistically significant.

A Systems Engineering Approach to Predict the Success Window of FLEX Strategy under Extended SBO Using Artificial Intelligence

  • Alketbi, Salama Obaid;Diab, Aya
    • 시스템엔지니어링학술지
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    • 제16권2호
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    • pp.97-109
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    • 2020
  • On March 11, 2011, an earthquake followed by a tsunami caused an extended station blackout (SBO) at the Fukushima Dai-ichi NPP Units. The accident was initiated by a total loss of both onsite and offsite electrical power resulting in the loss of the ultimate heat sink for several days, and a consequent core melt in some units where proper mitigation strategies could not be implemented in a timely fashion. To enhance the plant's coping capability, the Diverse and Flexible Strategies (FLEX) were proposed to append the Emergency Operation Procedures (EOPs) by relying on portable equipment as an additional line of defense. To assess the success window of FLEX strategies, all sources of uncertainties need to be considered, using a physics-based model or system code. This necessitates conducting a large number of simulations to reflect all potential variations in initial, boundary, and design conditions as well as thermophysical properties, empirical models, and scenario uncertainties. Alternatively, data-driven models may provide a fast tool to predict the success window of FLEX strategies given the underlying uncertainties. This paper explores the applicability of Artificial Intelligence (AI) to identify the success window of FLEX strategy for extended SBO. The developed model can be trained and validated using data produced by the lumped parameter thermal-hydraulic code, MARS-KS, as best estimate system code loosely coupled with Dakota for uncertainty quantification. A Systems Engineering (SE) approach is used to plan and manage the process of using AI to predict the success window of FLEX strategies under extended SBO conditions.

Data-driven prediction of compressive strength of FRP-confined concrete members: An application of machine learning models

  • Berradia, Mohammed;Azab, Marc;Ahmad, Zeeshan;Accouche, Oussama;Raza, Ali;Alashker, Yasser
    • Structural Engineering and Mechanics
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    • 제83권4호
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    • pp.515-535
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    • 2022
  • The strength models for fiber-reinforced polymer (FRP)-confined normal strength concrete (NC) cylinders available in the literature have been suggested based on small databases using limited variables of such structural members portraying less accuracy. The artificial neural network (ANN) is an advanced technique for precisely predicting the response of composite structures by considering a large number of parameters. The main objective of the present investigation is to develop an ANN model for the axial strength of FRP-confined NC cylinders using various parameters to give the highest accuracy of the predictions. To secure this aim, a large experimental database of 313 FRP-confined NC cylinders has been constructed from previous research investigations. An evaluation of 33 different empirical strength models has been performed using various statistical parameters (root mean squared error RMSE, mean absolute error MAE, and coefficient of determination R2) over the developed database. Then, a new ANN model using the Group Method of Data Handling (GMDH) has been proposed based on the experimental database that portrayed the highest performance as compared with the previous models with R2=0.92, RMSE=0.27, and MAE=0.33. Therefore, the suggested ANN model can accurately capture the axial strength of FRP-confined NC cylinders that can be used for the further analysis and design of such members in the construction industry.

Analysis on Continuous Usage Intention of Chinese Mobile Games from the Perspective of Experiential Marketing and Network Externality

  • Lei, Bo;Lee, Jungmann
    • Journal of Information Technology Applications and Management
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    • 제27권6호
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    • pp.197-224
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    • 2020
  • Mobile games have become one of the most important driving forces of the game industry. We focus on the continuous intention to use Chinese mobile games from the perspective of experiential marketing and network externalities. We integrate user experience, network externalities and flow theory into expectation confirmation model and explore the influencing factors of continuous usage intention of Chinese mobile game and propose a research model. Game experience, service experience, perceived enjoyment, social interaction, challenge, perceived number of users and perceived number of peers were employed as independent variables, while flow, perceived value and satisfaction as mediating variables and continuous intention as the dependent variable. After surveying 426 samples, the model is tested with structural equation model. The results reveal that perceived enjoyment significantly positively influences perceived value, flow, satisfaction, and continuous intention. The greater the enjoyment of the game, the greater the satisfaction of the game and the greater the willingness to use it continuously. Game experience has a significant direct effect on continuous intention, which indicates that a better game experience can retain more users. Service experience and perceive number of peers positively influence satisfaction. Another finding is that social interaction and perceived number of users positively influence perceived value and flow, which indicate that social attributes are critical roles for retaining users. Game challenge also positively influences flow. The proper level of challenge is more likely to cause users to enter the state of flow. Flow indirectly influences continuous usage intention through the satisfaction of the game, which indicates that satisfaction is driven by flow experience and further retaining users. Empirical results implied that mobile game companies need to focus on improving user experience, expectation satisfaction and extending network externalities to improve the continuous intention of using mobile game.

접속불변에너지산업연관표 00-05-08을 이용한 산업별 에너지소비 변화량의 구조분해분석 (Structural Decomposition Analysis for Energy Consumption of Industrial Sector with Linked Energy Input-Output Table 00-05-08)

  • 김윤경;장운정
    • 자원ㆍ환경경제연구
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    • 제20권2호
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    • pp.255-289
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    • 2011
  • 본 논문은 2000년, 2005년, 2008년의 3개년을 대상으로 접속불변에너지산업연관표(76개의 산업분류)를 작성하여 집계통계와 함께 산업별 미시적 통계를 제시하고, 이를 이용하여 산업별로 에너지소비량의 변화에 영향을 미치는 요인과 그 크기를 분석하였다. 본 논문에서 부가가치 총액 변화, 부가가치비중 변화, 산출구조 변화, 에너지원단위 변화의 4가지 요인을 고려하였다. 분석모형으로는 우리나라가 수출주도형의 산업구조를 갖고 있다는 점을 고려하여 공급측 모형을 이용한 구조분해분석을 적용하였다. 집계통계를 이용한 분석결과에 따르면 시기에 상관없이 부가가치 총액 변화는 에너지소비량을 증가시켰지만, 산출구조 변화는 에너지소비 변화량을 감소시켰다. 부가가치비중 변화와 에너지원단위 변화에서는 시기별로 에너지소비 변화량의 증감이 반대로 도출되었다. 산업별 통계를 이용한 결과에 따르면 부가가치비중 변화는 시점과 상관없이 전자기기에서 에너지소비 변화량을 증가시키고, 석유제품, 시멘트, 석탄제품에서 에너지소비량을 감소시켰다. 그리고 에너지원단위 변화는 석유제품, 화력, 사업서비스, 금융 및 보험, 보관 및 운수관련서비스에서의 에너지원단위 변화가 에너지소비 변화량을 증가시켰다. 이상의 결과처럼 집계통계를 이용하면 각 산업에서의 현상이 나타나지 않는다. 정부가 정책을 입안하고 시행할 때에 집계통계만을 기준으로 하면 효율적 성과를 거두기 어렵다.

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핵심역량 지향성과 프로세스 관리역량이 IT 아웃소싱 성과에 미치는 연구 (An Empirical Investigation into the Role of Core-Competency Orientation and IT Outsourcing Process Management Capability)

  • 김용진;남기찬;송재기;구철모
    • Asia pacific journal of information systems
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    • 제17권3호
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    • pp.131-146
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    • 2007
  • Recently, the role of IT service providers has been enlarged from managing a single function or system to reconstructing entire information management processes in new ways to contribute to shareholder value across the enterprise. This movement toward extensive and complex outsourcing agreements has been driven by the assumption that outsourcing information technology functions is a reliable approach to maximizing resource productivity. Hiring external IT service providers to manage part or all of its information-related services helps a firm focus on its core business and provides better services to its clients, thus obtaining sustainable competitive advantage. This practice of focusing on the strategic aspect of outsourcing is referred to as strategic sourcing where the focus is capability sourcing, not procurement. Given the importance of the strategic outsourcing, however, to our knowledge, there is little empirical research on the relationship between the strategic outsourcing orientation and outsourcing performance. Moreover, there is little research on the factor that makes the strategic outsourcing effective. This study is designed to investigate the relationship between strategic IT outsourcing orientation and IT outsourcing performance and the process through which strategic IT outsourcing orientation influences outsourcing performance, Based on the framework of strategic orientation-performance and core competence based management, this study first identifies core competency orientation as a proper strategic orientation pertinent to IT outsourcing and IT outsourcing process management capability as the mediator to affect IT outsourcing performance. The proposed research model is then tested with a sample of 200 firms. The findings of this study may contribute to the literature in two ways. First, it draws on the strategic orientation - performance framework in developing its research model so that it can provide a new perspective to the well studied phenomena. This perspective allows practitioners and researchers to look at outsourcing from an angle that emphasizes the strategic decision making to outsource its IT functions. Second, by separating the concept of strategic orientation and outsourcing process management capability, this study provides practices with insight into how the strategic orientation can work effectively to achieve an expected result. In addition, the current study provides a basis for future studies that examine the factors affecting IT outsourcing performance with more controllable factors such as IT outsourcing process management capability rather than external hard-to-control factors including trust and relationship management. This study investigates the major factors that determine IT outsourcing success. Based on strategic orientation and core competency theories, we develop the proposed research model to investigate the relationship between core competency orientation and IT outsourcing performance and the mediating role of IT outsourcing process management capability on IT outsourcing performance. The model consists of two independent variables (core-competency-orientation and IT outsourcing process management capability), and two dependent variables (outsourced task complexity and IT outsourcing performance). Comprehensive data collection was conducted through an outsourcing association. The survey data were analyzed using a structural analysis method. IT outsourcing process management capability was found to mediate the effect of core competency orientation on both outsourced task complexity and IT outsourcing performance. Further analysis and findings are discussed.

Environmental Management Accounting Perception and Implementation in the Automobile Industry in Vietnam

  • TRAN, Ngoc Hung;HOANG, Thanh Hien;NGUYEN, Thi Thuy Hanh
    • The Journal of Asian Finance, Economics and Business
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    • 제7권12호
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    • pp.941-949
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    • 2020
  • This study aims to investigate the factors which impact the possibility of Environmental Management Accounting (EMA) implementation in automobile companies in Vietnam. A survey was carried out with automobile enterprises' managers, getting 198 usable respondents, with data and theoretical model analyzed by using SPSS with EFA method. Results indicated that in Vietnamese automobile enterprises, the possibility of EMA implementation was driven by elements including motivation to reduce production costs, reactions to environmental issues, compliance to legislation, procedures and processes in the working environment which they are in business. The government and professional institutions should play a vital role in promoting EMA practices by issuing specific guidelines and continuous training. Besides, tax authorities should apply the favor policies such as tax incentives to stimulate interest enterprises to implement EMA. However, this study's results only reflect about 63.7% of the impact to the implementation of EMA in Vietnamese automotive enterprises, so there are still some other factors that should be found out in the future researches. This is the first attempt to systematically analyze enterprises' perception and willingness to apply EMA in Vietnamese automobile industry. This study contributes to not only the existing empirical literature of EMA but also enterprises' managers in Vietnam and other transitional economies.

Leadership Styles and Customer Loyalty: A Lesson from Emerging Southeast Asia's Airlines Industry

  • RIZAN, Mohamad;WAROKKA, Ari;WIBOWO, Agus;FEBRILIA, Ika
    • The Journal of Asian Finance, Economics and Business
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    • 제7권9호
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    • pp.477-488
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    • 2020
  • This study provides the empirical testing to test the influences of contemporary leadership styles (i.e., transactional and transformational) on job satisfaction and customer satisfaction as the mediating variable between job satisfaction and customer loyalty. The approach utilized in this study was a quantitative research design using a survey model. The participants of this study were recruited from 160 front-liners in the airline's industry in Indonesia. This study employed 160 front liners (flight attendants, reservation/ticketing, and check-in-counter officers) who worked in Branch Office/General Sales Agent of Indonesian commercial airlines. The studied airlines serve domestic routes based at Soekarno-Hatta International Airport. Furthermore, the data were examined the four developed hypotheses by using Structural Equation Modeling (SEM). The primary results are: First, in the context of job satisfaction, both leadership styles (i.e., transactional and transformational) have similar influences; Second, job satisfaction affects customer satisfaction positively and significant, Third, customer loyalty is driven by passengers' satisfaction when they are utilizing the airline services. The findings imply that the working-role encouragement is essential to maximize the productivity of front-liners to serve their customer well. This research supports on developing the general knowledge based on leadership styles in the context of the airline's industry in managing the human resources strategically.

An Empirical Analysis for Determinants of Secondhand Ship Prices of Bulk Carriers and Oil Tankers

  • Hong, Seung-Pyo;Lee, Ki-Hwan;Kim, Myoung-Hee
    • 한국항해항만학회지
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    • 제46권5호
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    • pp.441-448
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    • 2022
  • The aim of this study was to examine determinants of secondhand Bulk carrier and Oil tanker prices. This study compiled S& P transaction data taken from the Clarksons Research during J anuary 2018 to April 2022 to see how independent variables influenced secondhand ship prices. In the secondhand ship pricing model of entire segments, size, age, and LIBOR showed significant effects on prices. A vessel built in J apan and Korea was traded at a higher price than a vessel built in other countries. In the bulk segment, size, age, Clarksea index, LIBOR, and inflation were meaningful variables. In the Tanker segment, unlike Bulk carrier, only size and age were useful variables. This study performed regression analyses for various sizes of Bulk carriers and Oil tankers. It verified that impacts of variables other than ship size and age were significantly associated with ship type and size while macroeconomic variables had no influence except for bulk carriers. By applying diverse variables affecting secondhand ship price estimation according to various sizes of Bulk carriers and Oil tankers, this study will expand the scope of practical application for investors. It also reaffirms prior research findings that the secondhand ship market is primarily market-driven.